BJC News

Vol.1, No.1 - September 27, 1956. First issue of the Boone Junior College News.https://openspace.dmacc.edu/banner_news/1010/thumbnail.jp

Russian Missile Technology and Nuclear Reactor Transfers to Iran

Many in Congress and the Clinton Administration charge that Russian entities are assisting Iran in developing ballistic missiles. Russia is also building a nuclear power station and is finishing other nuclear services to, Iran. Congress has passed legislation requiring the President to impose sanctions for missile technology transfers, arms sales, nuclear technology transfers, and large-scale investments in Iran. H.R 2709, which includes the "Iran Missile Proliferation Sanctions Act of 1997," is one of several bills designed to tighten existing sanctions law. It was amended and passed by the Senate on May 22, 1998, and by the House on June 9 by very large bipartisan majorities. Nevertheless, President Clinton vetoed the bill on June 23 and said he would work to sustain the veto

Russian Missile Technology and Nuclear Reactor Transfers to Iran

Many in Congress and the Clinton Administration charge that Russian entities are assisting Iran in developing ballistic missiles. Russia is also building a nuclear power station and is finishing other nuclear services to, Iran. Congress has passed legislation requiring the President to impose sanctions for missile technology transfers, arms sales, nuclear technology transfers, and large-scale investments in Iran. H.R 2709, which includes the "Iran Missile Proliferation Sanctions Act of 1997," is one of several bills designed to tighten existing sanctions law. It was amended and passed by the Senate on May 22, 1998, and by the House on June 9 by very large bipartisan majorities. Nevertheless, President Clinton vetoed the bill on June 23 and said he would work to sustain the veto

Testing a global standard for quantifying species recovery and assessing conservation impact.

Recognizing the imperative to evaluate species recovery and conservation impact, in 2012 the International Union for Conservation of Nature (IUCN) called for development of a "Green List of Species" (now the IUCN Green Status of Species). A draft Green Status framework for assessing species' progress toward recovery, published in 2018, proposed 2 separate but interlinked components: a standardized method (i.e., measurement against benchmarks of species' viability, functionality, and preimpact distribution) to determine current species recovery status (herein species recovery score) and application of that method to estimate past and potential future impacts of conservation based on 4 metrics (conservation legacy, conservation dependence, conservation gain, and recovery potential). We tested the framework with 181 species representing diverse taxa, life histories, biomes, and IUCN Red List categories (extinction risk). Based on the observed distribution of species' recovery scores, we propose the following species recovery categories: fully recovered, slightly depleted, moderately depleted, largely depleted, critically depleted, extinct in the wild, and indeterminate. Fifty-nine percent of tested species were considered largely or critically depleted. Although there was a negative relationship between extinction risk and species recovery score, variation was considerable. Some species in lower risk categories were assessed as farther from recovery than those at higher risk. This emphasizes that species recovery is conceptually different from extinction risk and reinforces the utility of the IUCN Green Status of Species to more fully understand species conservation status. Although extinction risk did not predict conservation legacy, conservation dependence, or conservation gain, it was positively correlated with recovery potential. Only 1.7% of tested species were categorized as zero across all 4 of these conservation impact metrics, indicating that conservation has, or will, play a role in improving or maintaining species status for the vast majority of these species. Based on our results, we devised an updated assessment framework that introduces the option of using a dynamic baseline to assess future impacts of conservation over the short term to avoid misleading results which were generated in a small number of cases, and redefines short term as 10 years to better align with conservation planning. These changes are reflected in the IUCN Green Status of Species Standard

Comorbid illnesses are associated with altered adaptive immune responses to SARS-CoV-2

Comorbid medical illnesses, such as obesity and diabetes, are associated with more severe COVID-19, hospitalization, and death. However, the role of the immune system in mediating these clinical outcomes has not been determined. We used multiparameter flow cytometry and systems serology to comprehensively profile the functions of T cells and antibodies targeting spike, nucleocapsid, and envelope proteins in a convalescent cohort of COVID-19 subjects who were either hospitalized (n = 20) or not hospitalized (n = 40). To avoid confounding, subjects were matched by age, sex, ethnicity, and date of symptom onset. Surprisingly, we found that the magnitude and functional breadth of virus-specific CD4+ T cell and antibody responses were consistently higher among hospitalized subjects, particularly those with medical comorbidities. However, an integrated analysis identified more coordination between polyfunctional CD4+ T cells and antibodies targeting the S1 domain of spike among subjects who were not hospitalized. These data reveal a functionally diverse and coordinated response between T cells and antibodies targeting SARS-CoV-2, which is reduced in the presence of comorbid illnesses that are known risk factors for severe COVID-19.Bill and Melinda Gates Foundation (Award 235730)NIAID (Grant U19 AI35995)U.S. Centers for Disease Control and Prevention (Grant CK000490

Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: A case study using aromatic amine mutagenicity

Statistical-based and expert rule-based models built using public domain mutagenicity knowledge and data are routinely used for computational (Q)SAR assessments of pharmaceutical impurities in line with the approach recommended in the ICH M7 guideline. Knowledge from proprietary corporate mutagenicity databases could be used to increase the predictive performance for selected chemical classes as well as expand the applicability domain of these (Q)SAR models. This paper outlines a mechanism for sharing knowledge without the release of proprietary data. Primary aromatic amine mutagenicity was selected as a case study because this chemical class is often encountered in pharmaceutical impurity analysis and mutagenicity of aromatic amines is currently difficult to predict. As part of this analysis, a series of aromatic amine substructures were defined and the number of mutagenic and non-mutagenic examples for each chemical substructure calculated across a series of public and proprietary mutagenicity databases. This information was pooled across all sources to identify structural classes that activate or deactivate aromatic amine mutagenicity. This structure activity knowledge, in combination with newly released primary aromatic amine data, was incorporated into Leadscope's expert rule-based and statistical-based (Q)SAR models where increased predictive performance was demonstrated.JRC.I.5-Systems Toxicolog